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Comments (4)

rishikksh20 avatar rishikksh20 commented on September 28, 2024

yes better than hifi-gan with less training

from istftnet-pytorch.

hdmjdp avatar hdmjdp commented on September 28, 2024

yes better than hifi-gan with less training

but in my experiments, the stftnet has larger machine noise in the audio, did you have it?

also in the training, there is "max value is tensor(1.1451, device='cuda:0', grad_fn=)
" note

from istftnet-pytorch.

ease-zh avatar ease-zh commented on September 28, 2024

also in the training, there is "max value is tensor(1.1451, device='cuda:0', grad_fn=) " note

Since no activation is applied to spec, only an exp to make it positive, its upper bound is unlimited, which causes an unlimited bound for the generated audio.
Leaving the spec unbounded is not a good idea.

from istftnet-pytorch.

piplyman avatar piplyman commented on September 28, 2024

also in the training, there is "max value is tensor(1.1451, device='cuda:0', grad_fn=) " note

Since no activation is applied to spec, only an exp to make it positive, its upper bound is unlimited, which causes an unlimited bound for the generated audio. Leaving the spec unbounded is not a good idea.

How to solve this unbounded problem?

from istftnet-pytorch.

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